DEVELOPMENT... OpenML
Run
165969

Run 165969

Task 3617 (Supervised Classification) fri_c4_1000_10 Uploaded 18-02-2015 by Felicia West
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Flow

weka.MultiBoostAB_NaiveBayes(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_NaiveBayes(2)_C3
weka.MultiBoostAB_NaiveBayes(2)_P100
weka.MultiBoostAB_NaiveBayes(2)_S1
weka.MultiBoostAB_NaiveBayes(2)_I160
weka.MultiBoostAB_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.6962
Per class
F measure
0.6572
Per class
Kappa
0.3019
KB relative information score
172.7988
Mean absolute error
0.4188
Mean prior absolute error
0.4928
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6574
Per class
Predictive accuracy
0.66
Prior entropy
0.9896
Recall
0.66
Per class
Relative absolute error
0.8498
Root mean prior squared error
0.4964
Root mean squared error
0.4641
Root relative squared error
0.935
SciMark benchmark
894.7455
UserCPU time millis
60
UserCPU time millis testing
20
UserCPU time millis training
40